Book 2007

Principles of Data Mining

Authors:

ISBN: 978-1-84628-765-7 (Print) 978-1-84628-766-4 (Online)

Table of contents (15 chapters)

  1. Front Matter

    Pages i-xix

  2. No Access

    Chapter

    Pages 11-21

    Data for Data Mining

  3. No Access

    Chapter

    Pages 23-39

    Introduction to Classification: Na¨ive Bayes and Nearest Neighbour

  4. No Access

    Chapter

    Pages 41-50

    Using Decision Trees for Classification

  5. No Access

    Chapter

    Pages 51-64

    Decision Tree Induction: Using Entropy for Attribute Selection

  6. No Access

    Chapter

    Pages 65-77

    Decision Tree Induction: Using Frequency Tables for Attribute Selection

  7. No Access

    Chapter

    Pages 79-92

    Estimating the Predictive Accuracy of a Classifier

  8. No Access

    Chapter

    Pages 93-118

    Continuous Attributes

  9. No Access

    Chapter

    Pages 119-134

    Avoiding Overfitting of Decision Trees

  10. No Access

    Chapter

    Pages 135-154

    More About Entropy

  11. No Access

    Chapter

    Pages 155-171

    Inducing Modular Rules for Classification

  12. No Access

    Chapter

    Pages 173-185

    Measuring the Performance of a Classifier

  13. No Access

    Chapter

    Pages 187-201

    Association Rule Mining I

  14. No Access

    Chapter

    Pages 203-219

    Association Rule Mining II

  15. No Access

    Chapter

    Pages 221-238

    Clustering

  16. No Access

    Chapter

    Pages 239-253

    Text Mining

  17. Back Matter

    Pages 255-343